Synopses & Reviews
Even You Can Learn StatisticsA Guide for Everyone Who Has Ever Been Afraid Of Statistics
One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts.
David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions.
Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine.
Here's just some of what you'll learn how to do...
-
Use statistics in your everyday work or study
-
Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel
-
Build and interpret statistical charts and tables
-
"Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter
-
Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
-
Use probability and probability distributions
-
Work with sampling distributions and confidence intervals
-
Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques
-
Perform regression analysis and modeling
The easy, practical introduction to statistics–for everyone!
Thought you couldn't learn statistics? Think again. You can–and you will!
Complementary Web site
Downloadable practice files at http://www.ftpress.com/youcanlearnstatistics
Synopsis
One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jargon-free explanation, practical examples, and hand-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. Here's just some of what you'll learn how to do:
- Use statistics in your everyday work or study
- Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel
- Build and interpret statistical charts and tables
- Test yourself at the end of each chapter to review the concepts and methods that you learned in the chapter
- Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
- Use probability and probability distributions
- Work with sampling distributions and confidence intervals
- Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques
- Perform regression analysis and modeling
Synopsis
Even You Can Learn Statistics, 2nd Ed. is the easiest guide to using statistics in your everyday work or study. Experienced educators David Levine and David Stephan teach statistics hands-on, in plain English, with as little math and as many revealing examples as possible. Levine and Stephan define each concept and technique in plain English, and then explain why it's important, when it's used, and how you can apply it yourself. This Second Edition is fully-updated with new examples that designed to be easily worked with Microsoft Excel, the free OpenOffice.org Calc spreadsheet program, or any TI-83 compatible calculator. This new edition also adds detailed problems and worked solutions at the end of every chapter, along with a library of updated multiple choice questions that help you quickly test and build your knowledge. It contains more Excel and OpenOffice.org guidance, as well as an entirely new chapter on multiple regression, the powerful statistical tool for understanding the relationship between several independent variables in applications ranging from business to science. If you do want to understand statistics' deeper mathematical foundations, optional "Equation Blackboard" sections illuminate the equations at work beneath many of today's most crucial statistical techniques. Along the way, Levine and Stephan also help you overcome common misconceptions about statistics, so you can use any statistical method more confidently and successfully.
Synopsis
The Completely Updated Guide for Everyone Who’s Ever Been Afraid of Statistics!
The easy, practical, up-to-date introduction to statistics–for everyone! Thought you couldn’t learn statistics? You can–and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes!
Here’s Just Some of What You’ll Learn How to Do...
• Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
• Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
• Use probability and probability distributions
• Work with sampling distributions and confidence intervals
• Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
• Perform powerful regression analysis and modeling
• Use multiple regression to develop models that contain several independent variables
• Master specific statistical techniques for quality and Six Sigma programs
About the Web Site
Download practice files, templates, data sets, and sample spreadsheet models–including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e
About the Author
David Levine is a much-honored innovator in statistics eduaction. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College, and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Signa for Green Belts and Champions.
Table of Contents
Introduction.
1. Fundamentals of Statistics.
The Five Basic Words of Statistics.
Population.
Sample.
Parameter.
Statistic.
Variable.
The Branches of Statistics.
Descriptive Statistics.
Inferential Statistics.
Sources of Data.
Published Sources.
Experiments.
Surveys.
Sampling Concepts.
Sampling.
Probability Sampling.
Simple Random Sampling.
Frame.
Sample Selection Methods.
Sampling with Replacement.
Sampling without Replacement.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
2. Presenting Data in Charts and Tables.
Presenting Categorical Data.
The Summary Table.
The Bar Chart.
The Pie Chart.
The Pareto Diagram.
Presenting Numerical Data.
The Frequency and Percentage Distribution.
Histogram.
The Dot Scale Diagram.
The Time-Series Plot.
The Scatter Plot.
Misusing Graphs.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
3. Descriptive Statistics for Numerical Variables.
Measures of Central Tendency.
The Mean.
The Median.
The Mode.
Quartiles.
Measures of Variation.
The Range.
The Variance and the Standard Deviation.
Standard (Z) Scores.
Shape of Distributions.
Symmetrical Shape.
Left-Skewed Shape.
Right-Skewed Shape.
The Box-and-Whisker Plot.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
4. Probability.
Getting Started with Probability.
Event.
Elementary Event.
Random Variable.
Probability.
Collectively Exhaustive Events.
Some Rules of Probability.
Assigning Probabilities.
Classical Approach.
Empirical Approach.
Subjective Approach.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
5. Probability Distributions.
Probability Distributions for Discrete Variables.
Discrete Probability Distribution.
The Expected Value of a Random Variable.
Standard Deviation of a Random Variable (_).
The Binomial and Poisson Probability Distributions.
The Binomial Distribution.
The Poisson Distribution.
Continuous Probability Distributions and the Normal Distribution.
Normal Distribution.
Using Standard Deviation Units.
Finding the Z Value from the Area Under the Normal Curve.
The Normal Probability Plot.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
6. Sampling Distributions and Confidence Intervals.
Sampling Distributions.
Sampling Distribution.
Sampling Distribution of the Mean and the Central Limit Theorem.
Sampling Distribution of the Proportion.
What You Need to Know About Sampling Distributions.
Sampling Error and Confidence Intervals.
Sampling Error.
Confidence Interval Estimate.
Confidence Interval Estimate for the Mean Using the t Distribution (_Unknown).
t Distribution.
Confidence Interval Estimation for the Proportion.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
7. Fundamentals of Hypothesis Testing.
The Null and Alternative Hypotheses.
Null Hypothesis.
Alternative Hypothesis.
Hypothesis Testing Issues.
Test Statistic.
Practical Significance Versus Statistical Significance.
Decision-Making Risks.
Type I Error.
Type II Error.
Risk Trade-Off.
Performing Hypothesis Testing.
The p-Value Approach to Hypothesis Testing.
p-Value.
Types of Hypothesis Tests.
Number of Groups.
Relationship Stated in Alternative Hypothesis H1.
Type of Variable.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
8. Hypothesis Testing: Z and t Tests.
Testing for the Difference between Two Proportions.
Testing for the Difference Between the Means of Two Independent Groups.
Pooled-Variance t Test.
Pooled-Variance t Test Assumptions.
The Paired t Test.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
9. Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA).
Chi-Square Test for Two-Way Tables.
One-Way Analysis of Variance (ANOVA): Testing for the Differences among the Means of More Than Two Groups.
One-Way ANOVA.
The Three Variances of ANOVA.
ANOVA Summary Table.
One-Way ANOVA Assumptions.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
10. Regression Analysis.
Basics of Regression Analysis.
Simple Linear Regression.
Determining the Simple Linear Regression Equation.
Y intercept.
Slope.
Least-Squares Method.
Regression Model Prediction.
Measures of Variation.
Regression Sum of Squares (SSR).
Error Sum of Squares (SSE).
Total Sum of Squares (SST).
The Coefficient of Determination.
The Coefficient of Correlation.
Standard Error of the Estimate.
Regression Assumptions.
Residual Analysis.
Residual.
Evaluating the Assumptions.
Inferences About the Slope.
t Test for the Slope.
Confidence Interval Estimate of the Slope (_1).
Common Mistakes Using Regression Analysis.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
11. Quality and Six Sigma Management Applications of Statistics.
Total Quality Management.
Six Sigma Management.
Six Sigma.
The Six Sigma DMAIC Model.
Control Charts.
Special or Assignable Causes of Variation.
Chance or Common Causes of Variation.
Control Limits.
The p Chart.
The Parable of the Red Bead Experiment: Understanding Process Variability.
Deming’s Red Bead Experiment.
Variables Control Charts for the Mean and Range.
Important Equations.
One-Minute Summary.
Test Yourself.
Answers to Test Yourself Questions.
References.
Appendix A: TI Statistical Calculator Settings and Microsoft Excel Settings.
TI Statistical Calculator Settings.
“Ready State” Assumptions.
Menu Selections.
Statistical Function Entries by Menus.
Primary Key Legend Convention.
Mode Settings.
Calculator Clearing and Reset.
Data Storage.
Microsoft Excel Settings.
Appendix B: Review of Arithmetic and Algebra.
Assessment Quiz.
Part 1.
Part 2.
Symbols.
Addition.
Subtraction.
Multiplication.
Division.
Fractions.
Exponents and Square Roots.
Equations.
Answers to Quiz.
Part 1.
Part 2.
Appendix C: Statistical Tables.
The Cumulative Standardized Normal Distribution.
Critical Values of t.
Critical Values of _2.
Critical Values of F.
Control Chart Factors.
Appendix D: Using Microsoft Excel Wizards.
Using the Chart Wizard.
Choosing the Best Chart Options.
Using the PivotTable Wizard.
Using the Data Analysis Tools.
Simple Linear Regression.
Glossary.
Index.